Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T11F818393B4082B3F5AC253E2099760A9E19840C7EA4C7F587176D1E74FEBFAC501D64B |
|
CONTENT
ssdeep
|
48:TlmLoHPI7Y5uR3Y6ARGklXMF7jvQJn/g40XgdQEKxICTGPoQoWP:Txg73YPYWXMF7jIB440Xgyd1KP |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
cd26389bcc33c68b |
|
VISUAL
aHash
|
181810183c3c1818 |
|
VISUAL
dHash
|
70b262726171b2b2 |
|
VISUAL
wHash
|
181838183cffdbda |
|
VISUAL
colorHash
|
30006000000 |
|
VISUAL
cropResistant
|
0000001010000000,0000101010000000,e52fba3c74c61c3a,70b262726171b2b2 |
Victim enters username and password into fake login form. Credentials are captured via JavaScript and exfiltrated to attacker's server in real-time.
Malicious code is obfuscated using 14 techniques to evade detection by security scanners and make reverse engineering more difficult.